角膜肌瘤的生物化学成分:基于拉曼光谱和深度学习方法的近视分类研究.
Zhe Yu1, Yong Li1, Tingyan Xing2,3,4
1Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital, Affiliated People's Hospital of Northwest University), No 4. Jiefang Road, Xin-Cheng District, Xi'an 710004, Shaanxi, China.
Biomedical optics express
|January 16, 2025
概括
拉曼光谱检测显示,在近视水平之间,角膜层中存在显著的生化差异. 这种技术显示出了解近视发展的潜力.
科学领域:
- 生物化学 生物化学
- 眼科医生 眼科 眼科
- 频谱学是一种光谱学.
背景情况:
- 近视是一种折射误差,涉及到眼睛结构的变化.
- 了解角膜中的生化变化对于近视研究至关重要.
研究的目的:
- 在低,中等和高近视之间调查角膜流层镜片的生物化学差异.
- 评估拉曼光谱在区分近视严重性的有用性.
主要方法:
- 从38名接受SMILE手术的患者的角膜筋膜样本中收集了拉曼光谱.
- 将患者分为低,中等和高近视组.
- 处理的光谱数据和使用的统计分析 (t-test) 和机器学习模型 (PLS-KNN,PCA-KNN).
主要成果:
- 在近视组之间观察到与原,脂质和核酸相关的拉曼光谱峰值的显著差异 (P < 0.001).
- PLS-KNN模型在分类近视严重程度方面实现了高精度 (95%).
- 使用PLS-KNN来区分低近视和高近视,表现出色 (94.4%准确率,0.98AUC).
结论:
- 拉曼光谱有效地识别了与近视相关的角膜层的生化变异.
- 这些发现表明,拉曼光谱是近视病原研究的一个有前途的工具.
- 角膜中的生化特征可以作为近视进展的生物标志物.
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